For the sources of data see the table below in combination with the repository's readme and the notebooks.

In [1]:
import sys

sys.path.append('..')
from covid19_inference import multi_country_plotting as cov19mcp

cov19mcp.plotly_violins_all_available_lambda(distances=10)

WARNING  [theano.tensor.blas] Using NumPy C-API based implementation for BLAS functions.

Violin plots of $\lambda -\mu$ for each of the countries / datasets found

10 days before and 10 days after lockdown

Country Dataset lockdown date lockdown type data retrieved
Netherlands JHU 23/03/2020 social distancing measures
Sweden JHU 24/03/2020 restaurant closures 15/05/2020 10:56
France new_hosp 17/03/2020 confinement 16/05/2020 11:54
France new_lab 17/03/2020 confinement 16/05/2020 14:22
France JHU 17/03/2020 confinement
Italy new_gvt 10/03/2020 confinement
Italy JHU 10/03/2020 confinement
Abbreviation Meaning
JHU Data from Johns Hopkins university
new_gvt New cases according to government data of the respective country
hosp New hospitalisations according to government data of the respective country
new_lab France-specific, positive tests of a part of the laboratories (laboratoires de ville)

For the links to the sources, see the readme of the repository.

Data has been pre-processed to include only data between 0.05 and 0.95 quantiles. The following plots are interactive, by clicking on a legend item, the corresponding plot will disappear. Double-click to isolate.

View html file on GitHub page to actually view the plots

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